Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Tom Heath, Christian Bizer - Morgan & Claypool
The book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications.
by Richard T. Watson - Global Text Project
This textbook teaches how to exploit IS in a technology-rich environment. It focuses on information systems showing how IS is integrated in organizations, how knowledge workers are supported, and how important IS is for an organization’s success.
by Howard Besser - Getty Research Institute
The book allows curators, librarians, collection managers, students to better understand the processes involved in building a cohesive set of digital images. It also explores how to link digitized images to the information required to manage them.
by Jean-Paul Van Belle, Jane Nash, Mike Eccles - Global Text Project
The book describes the role of information systems in modern organisations, explains the underlying concepts, provides an overview of the basic technologies found in all computer-based information systems: hardware, software, databases.